TY - JOUR AB - The present study aimed to evaluate the reproducibility and accuracy of the optimized algorithm of shear‑wave elastography (SWE) in diagnosing solid thyroid nodules. Two hundred and sixty‑three solid thyroid nodules in 248 patients who underwent conventional ultrasound and SWE, respectively, by two operators were scheduled for fine‑needle aspiration or surgery. Elasticity indices of the mean, minimum and maximum of nodules (EI) and thyroid parenchyma (EInorm) were measured respectively in the same frame of elastographic images for three times by both operators. The intraobserver and interobserver reproducibility of the optimized algorithm were assessed by intraclass correlation coefficients (ICC). Diagnostic performance of the optimized algorithm was compared with that of conventional SWE measurements by receiver‑operating characteristic (ROC) curves. Among a total of 243 nodules included, 121 were benign nodules and 122 were papillary thyroid carcinoma (PTC). Intraobserver reliability for EId and EIr was nearly perfect (ICC>0.80). Interobserver agreement for MEANd, MAXd, MEANr and MAXr was nearly perfect (ICC>0.80). MAXd had the largest areas under the ROC curve which was 0.82. Compared with conventional SWE, the optimized algorithm of SWE shows better reproducibility and performance in diagnosing solid thyroid nodules. AD - Ultrasound Department, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, P.R. China Ultrasound Department, Emergency General Hospital, Beijing 100028, P.R. China AU - Wu,Hao AU - Chen,Qin AU - Liu,Yingxian AU - Chen,Jidong AU - Deng,Wanyue DA - 2020/11/01 DO - 10.3892/ol.2020.12111 IS - 5 JO - Oncol Lett KW - shear‑wave elastography thyroid nodule optimized algorithm reproducibility diagnostic accuracy PY - 2020 SN - 1792-1074 1792-1082 SP - 248 ST - Optimized algorithm in solid thyroid nodule elastography T2 - Oncology Letters TI - Optimized algorithm in solid thyroid nodule elastography UR - https://doi.org/10.3892/ol.2020.12111 VL - 20 ER -